Sort by
Refine Your Search
-
Listed
-
Employer
- University of Oslo
- University of Bergen
- UiT The Arctic University of Norway
- University of South-Eastern Norway
- NTNU - Norwegian University of Science and Technology
- Western Norway University of Applied Sciences
- NTNU Norwegian University of Science and Technology
- The Norwegian Polar Institute
- BI Norwegian Business School
- University of Inland Norway
- University of Stavanger
- 1 more »
- « less
-
Field
-
-prediction benchmark studies. Depending on the qualifications and preferences of the candidate, the work may entail experimental investigations and/or modelling in the open-source computational fluid dynamics
-
, marine system ecology, sea ice associated species, and seabird or marine mammal ecology and the use of tracking technology to study area use. Experience with models and simulations of marine species
-
) research grant 355695 (BZERO). The project's key focus areas may include: Studying Human-Autonomy Interaction: Ensuring collaboration between ship crews and autonomous navigation systems in dynamic control
-
controlled common garden experiments, and analyze the molecular pathways involved in adaptation to extreme environments. While a core project framework is in place, there is flexibility to tailor specific
-
. Complement experimental work with system-level modeling and simulation to bridge cell-level insights with broader system performance. Plan and conduct experiments using national and European research
-
, organisations and politics, social inequality, migration, integration and diversity, cultural and political participation, population dynamics. Human geographers are also engaged in economic and political
-
political participation, urban studies, sustainable transformations, population dynamics, and work, organisations and politics. The call is not thematically limited to these topics, but preference can be
-
effective climate policies as Norwegian and European carbon sinks dynamically evolve under climate change. The postdoc will work on improving and applying the land surface model CLM (Community Land Model
-
distributed data processing approaches to address issues of incomplete or redundant multimodal data, dynamic updates, and scalable semantic interoperability in large-scale DPP systems. Particular emphasis will
-
, organisations and politics, social inequality, migration, integration and diversity, cultural and political participation, population dynamics. Human geographers are also engaged in economic and political